Exploring Insights: Harnessing QDA Miner for Qualitative Data Analysis

1 year ago Posted By : User Ref No: WURUR148458 0
  • Image
  • TypeTraining or Development Class
  • Image
  • Location Nairobi, Kenya
  • Price
  • Date 18-09-2023 - 22-09-2023
Training or Development Class Title
Exploring Insights: Harnessing QDA Miner for Qualitative Data Analysis
Event Type
Training or Development Class
Training or Development Class Date
18-09-2023 to 22-09-2023
Nairobi, Kenya
Organization Name / Organize By
FineResults Research Services, Nairobi, Kenya
Organizing/Related Departments
FineResults Research Services Training Center
Organization Type
Training or Development ClassCategory
Both (Technical & Non Technical)
Training or Development ClassLevel
All (State/Province/Region, National & International)
Related Industries



Business Development



Nairobi, Kenya

FineResults Research Services would like to invite you to take part in our upcoming workshops on Research at our FineResults Research Services training facilities in Nairobi, Kenya or online.




QDA Miner is a useful tool for qualitative data analysis of interview or focus group transcripts, legal documents, journal articles, speeches, even entire books, as well as drawings, photographs, paintings, and other types of visual documents. QDA Miner is an easy-to-use qualitative data analysis software package for coding, annotating, retrieving and analyzing small and large collections of documents and images. Its seamless integration with SimStat, a statistical data analysis tool, and WordStat, a quantitative content analysis and text mining software, gives you unprecedented flexibility for analyzing text and relating its content to structured information including numerical and categorical data.



Module 1

Introduction to qualitative data analysis

Theoretical frameworks: grounded theory, distributed cognition, activity theory

Presenting the findings: rigorous notations, stories, summaries

Introduction to QDA Miner

Installation Instructions

Project Structure

The Working Environment


Data and Text Management

Opening an Existing Project

Creating a Project from a List of Documents

Creating a Blank Project

Importing an Existing Data File

Importing Existing Documents as a New Project

Project Description and Notes

Working with Menu Levels

Security & Multi-users Settings


Managing Variables

Adding New Variables

Appending Variables from an External Data File

Deleting Existing Variables

Changing Variable Types

Recoding Values

Editing Variable Properties

Computing Variables Statistics


Managing Cases

Adding and Deleting Cases

Appending New Documents and Images

Adding New Cases from a Data File

Filtering Cases


Module 2

Project Management Tasks

Creating a Duplicate copy of a project

Sending a Project by E-mail

Exporting Selected Cases to a New Project

Exporting Coded Segments

Exporting Documents

Setting the Cases Descriptor and Grouping

Importing a Document into a Case

Importing an Image in a Case

Archiving a Project

Using the Temporary Session Backup

Merging Projects

Clearing all code assignments

Retrieving Misplaced Codes

Using the Command Log


Managing the Codebook

Adding a Code

Modifying Codes

Deleting Existing Codes

Moving Codes

Splitting a Code

Merging Codes

Virtually grouping codes

Importing a Codebook

Printing the Codebook


Module 3

Coding Documents and Images

Assigning Codes to Text Segments

Assigning Codes to Images

Working with Code Marks

Attaching a Comment to a Coded Segment

Removing Coded Segments

Changing the Code Associated with a Segment

Resizing Coded Segments

Hiding Code Marks

Highlighting and Hiding Coded Segments

Modifying Code Mark Color Scheme

Searching and Replacing Codes

Consolidating Coded Segments


Module 4

Coding Analysis

Saving and Retrieving Queries

Text Retrieval

Thesaurus Editing

Queby by Example

Section Retrieval

Keyword Retrieval

Coding Frequencies

Coding Retrieval

Coding Co-occurrences

Clustering Cases

Clustering Codes


2d and 3d Concept Maps

Proximity Plot

Code Sequence Analysis

Coding by Variables

Barchart or Line Chart

Heatmap Plot


Module 5

Coding Analysis (c’tnd)

Correspondence Analysis

Bubble Charts

Assessing Inter-coders Agreement

Content Analysis

Statistical Analysis

Automatic Text Classification

Storing Code Statistics into Numeric Variables

Exporting Code Statistics

Exporting Co-occurrence or Similarity Matrix

Retrieving a List of Comments

Coding Text Segments Using the Coding Table

Managing Outputs with the Report Manager


This training can also be customized for your institution upon request. You can also have it delivered your preferred location.

For further inquiries, please contact us through Mobile: (+254 759 285 295) or Email: [email protected] 


Participants should be reasonably proficient in English.  During the trainings, participants should come with their own laptops.



In-person USD 900

Payment should be transferred to FineResults Research Services bank account one week prior to the training date and proof of payment sent to [email protected]

For any registration of 3 or more participants; we offer a discount of up to 10%.

This course fee covers the course tuition, training materials, two break refreshments, lunch, and study visits for in-person training.


Accommodation is arranged upon request. For reservations contact us through Mobile: (+254 759 285 295) or Email: [email protected] 


Payment should be transferred to FineResults Research Limited bank before commencement of training. Send proof of payment through the email: [email protected] 


  • All requests for cancellations must be received in writing.
  • Changes will become effective on the date of written confirmation being received.

Visit our website for more details

View Other Research Courses

Registration Fees
Registration Fees Details
USD 900
Registration Ways
Post Box
FineResults Research Services Training Center  Westlands  Pin/Zip Code : Church Rd
Edith Wairimu

[email protected]

   +254 759 285 295